75 research outputs found
The interaction with gold suppresses fiber-like conformations of the amyloid beta (16-22) peptide
Inorganic surfaces and nanoparticles can accelerate or inhibit the fibrillation process of proteins and peptides, including the biomedically relevant amyloid β peptide. However, the microscopic mechanisms that determine such an effect are still poorly understood. By means of large-scale, state-of-the-art enhanced sampling molecular dynamics simulations, here we identify an interaction mechanism between the segments 16–22 of the amyloid β peptide, known to be fibrillogenic by itself, and the Au(111) surface in water that leads to the suppression of fiber-like conformations from the peptide conformational ensemble. Moreover, thanks to advanced simulation analysis techniques, we characterize the conformational selection vs. induced fit nature of the gold effect. Our results disclose an inhibition mechanism that is rooted in the details of the microscopic peptide–surface interaction rather than in general phenomena such as peptide sequestration from the solution.ISSN:2040-3364ISSN:2040-337
Hepatic venous pressure gradient predicts risk of hepatic decompensation and liver-related mortality in patients with MASLD
Background & Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a leading cause of advanced chronic liver disease (ACLD). Portal hypertension drives hepatic decompensation and is best diagnosed by hepatic venous pressure gradient (HVPG) measurement. Here, we investigate the prognostic value of HVPG in MASLD-related compensated ACLD (MASLD-cACLD). Methods: This European multicentre study included patients with MASLD-cACLD characterised by HVPG at baseline. Hepatic decompensation (variceal bleeding/ascites/hepatic encephalopathy) and liver-related mortality were considered the primary events of interest. Results: A total of 340 patients with MASLD-cACLD (56.2% male; median age 62 [55-68] years, median MELD 8 [7-9], 71.2% with diabetes) were included. Clinically significant portal hypertension (CSPH: i.e., HVPG ≥10 mmHg) was found in 209 patients (61.5%). During a median follow-up of 41.5 (27.5-65.8) months, 65 patients developed hepatic decompensation with a cumulative incidence of 10.0% after 2 years (2Y) and 30.7% after 5 years (5Y) in those with MASLD-cACLD with CSPH, compared to 2.4% after 2Y and 9.4% after 5Y in patients without CSPH. Variceal bleeding did not occur without CSPH. CSPH (subdistribution hazard ratio [SHR] 5.13; p <0.001) was associated with an increased decompensation risk and a higher HVPG remained an independent risk factor in the multivariable model (adjusted SHR per mmHg: 1.12, p <0.001). Liver-related mortality occurred in 37 patients at a cumulative incidence of 3.3% after 2Y and 21.4% after 5Y in CSPH. Without CSPH, the incidence after 5Y was 0.8%. Accordingly, a higher HVPG was also independently associated with a higher risk of liver-related death (adjusted SHR per mmHg: 1.20, p <0.001). Conclusion: HVPG measurement is of high prognostic value in MASLD-cACLD. In patients with MASLD-cACLD without CSPH, the short-term risk of decompensation is very low and liver-related mortality is rare, while the presence of CSPH substantially increases the risk of both. Impact and implications: While the incidence of compensated advanced chronic liver disease (cACLD) due to metabolic dysfunction-associated steatotic liver disease (MASLD) is increasing worldwide, insights into the impact of clinically significant portal hypertension (CSPH) on the risk of liver-related events in MASLD-cACLD remain limited. Based on the findings of this European multicentre study including 340 MASLD-cACLD patients, we could show that increasing HVPG values and the presence of CSPH in particular were associated with a significantly higher risk of first hepatic decompensation and liver-related mortality. In contrast, the short-term incidence of decompensation in patients with MASLD-cACLD without CSPH was low and the risk of liver-mortality remained negligible. Thus, HVPG measurements can provide important prognostic information for individualised risk stratification in MASLD-cACLD and may help facilitate the study of novel and promising treatment possibilities for MASLD
15NH3 in the atmosphere of a cool brown dwarf
Brown dwarfs serve as ideal laboratories for studying the atmospheres of giant exoplanets on wide orbits, as the governing physical and chemical processes within them are nearly identical1,2. Understanding the formation of gas-giant planets is challenging, often involving the endeavour to link atmospheric abundance ratios, such as the carbon-to-oxygen (C/O) ratio, to formation scenarios3. However, the complexity of planet formation requires further tracers, as the unambiguous interpretation of the measured C/O ratio is fraught with complexity4. Isotope ratios, such as deuterium to hydrogen and 14N/15N, offer a promising avenue to gain further insight into this formation process, mirroring their use within the Solar System5–7. For exoplanets, only a handful of constraints on 12C/13C exist, pointing to the accretion of 13C-rich ice from beyond the CO iceline of the disks8,9. Here we report on the mid-infrared detection of the 14NH3 and 15NH3 isotopologues in the atmosphere of a cool brown dwarf with an effective temperature of 380 K in a spectrum taken with the Mid-Infrared Instrument (MIRI) of JWST. As expected, our results reveal a 14N/15N value consistent with star-like formation by gravitational collapse, demonstrating that this ratio can be accurately constrained. Because young stars and their planets should be more strongly enriched in the 15N isotope10, we expect that 15NH3 will be detectable in several cold, wide-separation exoplanets
General, PDB-based collective variables for protein folding
New, automated forms of data analysis
are required to understand
the high-dimensional trajectories that are obtained from molecular
dynamics simulations on proteins. Dimensionality reduction algorithms
are particularly appealing in this regard as they allow one to construct
unbiased, low-dimensional representations of the trajectory using
only the information encoded in the trajectory. The downside of this
approach is that a different set of coordinates are required for each
different chemical system under study precisely because the coordinates
are constructed using information from the trajectory. In this paper,
we show how one can resolve this problem by using the sketch-map algorithm
that we recently proposed to construct a low-dimensional representation
of the structures contained in the protein data bank. We show that
the resulting coordinates are as useful for analyzing trajectory data
as coordinates constructed using landmark configurations taken from
the trajectory and that these coordinates can thus be used for understanding
protein folding across a range of systems
Retinal isomerization and water-pore formation in channelrhodopsin-2
Channelrhodopsin-2 (ChR2) is a light-sensitive ion channel widely used in optogenetics. Photoactivation triggers a trans-to-cis isomerization of a covalently bound retinal. Ensuing conformational changes open a cation-selective channel. We explore the structural dynamics in the early photocycle leading to channel opening by classical (MM) and quantum mechanical (QM) molecular simulations. With QM/MM simulations, we generated a protein-adapted force field for the retinal chromophore, which we validated against absorption spectra. In a 4-µs MM simulation of a dark-adapted ChR2 dimer, water entered the vestibules of the closed channel. Retinal all-trans to 13-cis isomerization, simulated with metadynamics, triggered a major restructuring of the charge cluster forming the channel gate. On a microsecond time scale, water penetrated the gate to form a membrane-spanning preopen pore between helices H1, H2, H3, and H7. This influx of water into an ion-impermeable preopen pore is consistent with time-resolved infrared spectroscopy and electrophysiology experiments. In the retinal 13-cis state, D253 emerged as the proton acceptor of the Schiff base. Upon proton transfer from the Schiff base to D253, modeled by QM/MM simulations, we obtained an early-M/P2 390-like intermediate. Rapid rotation of the unprotonated Schiff base toward the cytosolic side effectively prevents its reprotonation from the extracellular side. From MM and QM simulations, we gained detailed insight into the mechanism of ChR2 photoactivation and early events in pore formation. By rearranging the network of charges and hydrogen bonds forming the gate, water emerges as a key player in light-driven ChR2 channel opening
A Richardoestesia-like theropod tooth from the Late Cretaceous foredeep, south-central Pyrenees, Spain
Probing the Unfolded Configurations of a β-Hairpin Using Sketch-Map
This work examines the conformational ensemble involved in beta-hairpin folding by means of advanced molecular dynamics simulations and dimensionality reduction. A fully atomistic description of the protein and the surrounding solvent molecules is used, and this complex energy landscape is sampled by means of parallel tempering metadynamics simulations. The ensemble of configurations explored is analyzed using the recently proposed sketch-map algorithm. Further simulations allow us to probe how mutations affect the structures adopted by this protein. We find that many of the configurations adopted by a mutant are the same as those adopted by the wild-type protein. Furthermore, certain mutations destabilize secondary-structure-containing configurations by preventing the formation of hydrogen bonds or by promoting the formation of new intramolecular contacts. Our analysis demonstrates that machine-learning techniques can be used to study the energy landscapes of complex molecules and that the visualizations that are generated in this way provide a natural basis for examining how the stabilities of particular configurations of the molecule are affected by factors such as temperature or structural mutations.COSM
The conformational free energy landscape of beta-D-glucopyranose. implications for substrate preactivation in beta-glucoside hydrolases
Using ab initio metadynamics we have computed the conformational free energy landscape of beta-D-glucopyranose as a function of the puckering coordinates. We show that the correspondence between the free energy and the Stoddard's pseudorotational itinerary for the system is rather poor. The number of free energy minima (9) is smaller than the number of ideal structures (13). Moreover, only six minima correspond to a canonical conformation. The structural features, the electronic properties, and the relative stability of the predicted conformers permit the rationalization of the occurrence of distorted sugar conformations in all the available X-ray structures of beta-glucoside hydrolase Michaelis complexes. We show that these enzymes recognize the most stable distorted conformers of the isolated substrate and at the same time the ones better prepared for catalysis in terms of bond elongation/shrinking and charge distribution. This suggests that the factors governing the distortions present in these complexes are largely dictated by the intrinsic properties of a single glucose unit
Improved leakage-equilibration-absorption scheme ( ileas ) for neutrino physics in compact object mergers
We present a new, computationally efficient, energy-integrated approximation
for neutrino effects in hot and dense astrophysical environments such as
supernova cores and compact binary mergers and their remnants. Our new method,
termed ILEAS for Improved Leakage-Equilibration-Absorption Scheme, improves the
lepton-number and energy losses of traditional leakage descriptions by a novel
prescription of the diffusion time-scale based on a detailed energy integral of
the flux-limited diffusion equation. The leakage module is supplemented by a
neutrino-equilibration treatment that ensures the proper evolution of the total
lepton number and medium plus neutrino energies as well as neutrino-pressure
effects in the neutrino-trapping domain. Moreover, we employ a simple and
straightforwardly applicable ray-tracing algorithm for including re-absorption
of escaping neutrinos especially in the decoupling layer and during the
transition to semi-transparent conditions. ILEAS is implemented on a
three-dimensional (3D) Cartesian grid with a minimum of free and potentially
case-dependent parameters and exploits the basic physics constraints that
should be fulfilled in the neutrino-opaque and free-streaming limits. We
discuss a suite of tests for stationary and time-dependent proto-neutron star
models and post-merger black-hole-torus configurations, for which 3D ILEAS
results are demonstrated to agree with energy-dependent 1D and 2D two-moment
(M1) neutrino transport on the level of 10--15 percent in basic neutrino
properties. This also holds for the radial profiles of the neutrino
luminosities and of the electron fraction. Even neutrino absorption maps around
torus-like neutrino sources are qualitatively similar without any fine-tuning,
confirming that ILEAS can satisfactorily reproduce local losses and
re-absorption of neutrinos as found in sophisticated transport calculations.Comment: 39 pages, 19 figures; revised version incl. referee requests; new
Sect.3.4 with first NS-NS merger models added; accepted by MNRA
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